Back to Search
Start Over
A Testbed for Simulating Semiconductor Supply Chains
- Source :
- IEEE Transactions on Semiconductor Manufacturing. 30:293-305
- Publication Year :
- 2017
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2017.
-
Abstract
- In this paper, a supply chain simulation testbed for the semiconductor industry is proposed. We start by identifying requirements for such reference datasets, and then we identify the main building blocks. The nodes of the supply chain that represent semiconductor wafer fabrication facilities (wafer fabs) are built on a simulation model from the measurement and improvement of manufacturing capacity project. We present two techniques to reduce the modeling and computational burden that are able to deal with load-dependent cycle times in single front-end and back-end facilities and in the overall network. The first method models in detail only the bottlenecks in the nodes of the supply chain, while the second one uses empirical distributions for cycle time and throughput. The quality of these reduction techniques is assessed by comparing the detailed model and the models with a reduced level of detail. We present an application scenario for the testbed by simulating a semiconductor supply network. In addition, the usage of the testbed is discussed.
- Subjects :
- 0209 industrial biotechnology
Engineering
021103 operations research
Supply chain management
business.industry
Semiconductor device fabrication
Supply chain
Testbed
0211 other engineering and technologies
Semiconductor device modeling
02 engineering and technology
Condensed Matter Physics
Industrial and Manufacturing Engineering
Electronic, Optical and Magnetic Materials
Reliability engineering
Data modeling
020901 industrial engineering & automation
Supply network
Electrical and Electronic Engineering
business
Throughput (business)
Simulation
Subjects
Details
- ISSN :
- 15582345 and 08946507
- Volume :
- 30
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Semiconductor Manufacturing
- Accession number :
- edsair.doi...........92558e0dcd63a7b9cdcf6a1b2d27adc0
- Full Text :
- https://doi.org/10.1109/tsm.2017.2713775